Follow
Robert B. Gramacy
Title
Cited by
Cited by
Year
Bayesian treed Gaussian process models with an application to computer modeling
RB Gramacy, HKH Lee
Journal of the American Statistical Association 103 (483), 1119-1130, 2008
7342008
Local Gaussian process approximation for large computer experiments
RB Gramacy, DW Apley
Journal of Computational and Graphical Statistics 24 (2), 561-578, 2015
3302015
A case study competition among methods for analyzing large spatial data
MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ...
Journal of Agricultural, Biological and Environmental Statistics 24 (3), 398-425, 2019
316*2019
Cases for the nugget in modeling computer experiments
RB Gramacy, HKH Lee
Statistics and Computing 22 (3), 713-722, 2012
2752012
Adaptive design and analysis of supercomputer experiments
RB Gramacy, HKH Lee
Technometrics 51 (2), 130-145, 2009
2462009
tgp: an R package for Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian process models
RB Gramacy
Journal of Statistical Software 19, 1-46, 2007
2412007
Categorical inputs, sensitivity analysis, optimization and importance tempering with tgp version 2, an R package for treed Gaussian process models
RB Gramacy, M Taddy
Journal of Statistical Software 33, 1-48, 2010
223*2010
Surrogates: Gaussian process modeling, design, and optimization for the applied sciences
RB Gramacy
Chapman and Hall/CRC, 2020
2212020
Importance tempering
R Gramacy, R Samworth, R King
Statistics and Computing 20 (1), 1-7, 2010
2202010
Practical heteroscedastic Gaussian process modeling for large simulation experiments
M Binois, RB Gramacy, M Ludkovski
Journal of Computational and Graphical Statistics 27 (4), 808-821, 2018
1592018
Optimization under unknown constraints
RB Gramacy, HKH Lee
Bayesian Statistics 9 9, 229, 2011
155*2011
A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA, 1951–1980
T Graves, R Gramacy, N Watkins, C Franzke
Entropy 19 (9), 437, 2017
136*2017
Particle learning of Gaussian process models for sequential design and optimization
RB Gramacy, NG Polson
Journal of Computational and Graphical Statistics 20 (1), 102-118, 2011
1332011
ACME: Adaptive Caching Using Multiple Experts
I Ari, A Amer, RB Gramacy, EL Miller, SA Brandt, DDE Long
WDAS, 143-158, 2002
1332002
Dynamic trees for learning and design
MA Taddy, RB Gramacy, NG Polson
Journal of the American Statistical Association 106 (493), 109-123, 2011
1322011
Modeling an augmented Lagrangian for blackbox constrained optimization
RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ...
Technometrics 58 (1), 1-11, 2016
1222016
laGP: large-scale spatial modeling via local approximate Gaussian processes in R
RB Gramacy
Journal of Statistical Software 72, 1-46, 2016
1202016
Bayesian treed Gaussian process models
RB Gramacy
University of California, Santa Cruz, 2005
1182005
An open challenge to advance probabilistic forecasting for dengue epidemics
MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ...
Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019
1132019
Geometry: mesh generation and surface tesselation
R Grasman, RB Gramacy
R package version 0.1-4. URL http://cran. r-project. org/web/packages/geometry, 2008
101*2008
The system can't perform the operation now. Try again later.
Articles 1–20